A regression model based on the nearest centroid neighborhood
The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. It has also been used successfully for regression problems where the purpose is to predic...
Enregistré dans:
Auteur principal: | Garcia, Vicente |
---|---|
Autres auteurs: | Sánchez Garreta, Josep Salvador, Marques, Ana Isabel, Martínez-Peláez, Rafael |
Format: | Artículo |
Langue: | en_US |
Publié: |
2018
|
Sujets: | |
Accès en ligne: | https://doi.org/10.1007/s10044-018-0706-3 https://doi.org/10.1007/s10044-018-0706-3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Using Regression Models for Predicting the Product Quality in a Tubing Extrusion Process
par: Garcia, Vicente
Publié: (2019) -
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
par: García, Vicente
Publié: (2019) -
Estimation of Linear Regression with the Dimensional Analysis Method
par: Pérez Domínguez, Luis
Publié: (2022) -
Predicting airline customer satisfaction using k-nn ensemble regression models
par: García, Vicente
Publié: (2019) -
Alejandro Morales´s mystical realism
par: Roberto Sánchez Benitez
Publié: (2021)